Compare Amazon Redshift and Cloudera Data Platform 
Featured Products
At a Glance
Market Segments
Mid-Market (40.0% of reviews)
Enterprise (42.3% of reviews)
Entry-Level Pricing
$1.22 - $3.26 Per hour
No pricing available
Amazon Redshift
Star Rating
(400)4.3 out of 5
Market Segments
Mid-Market (40.0% of reviews)
Pros & Cons
Entry-Level Pricing
$1.22 - $3.26 Per hour
Browse all 6 pricing plansCloudera Data Platform
Star Rating
(136)4.1 out of 5
Market Segments
Enterprise (42.3% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Cloudera Data PlatformSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Amazon Redshift excels in scalability, allowing users to store and analyze large amounts of data quickly. Users appreciate its ability to easily scale up and down, which is particularly beneficial for businesses with fluctuating data needs.
- Users say that Cloudera is a user-friendly solution, often highlighting its ease of use and friendly interface. Many reviewers mention that it works seamlessly for handling confidential data, making it a solid choice for organizations prioritizing security.
- Reviewers mention that Amazon Redshift offers powerful performance with its columnar data solution, which significantly enhances query performance. This feature is noted as a game changer for users needing fast data retrieval and analysis.
- According to verified reviews, Cloudera faces challenges in support quality, with users rating it lower compared to Amazon Redshift. While Cloudera has received positive feedback for its technology, some users express concerns about the responsiveness and effectiveness of its support team.
- G2 reviewers highlight that Amazon Redshift's implementation process is straightforward, with features like easy logs access and simple data injection using EMR and Lambda. This ease of setup is a significant advantage for teams looking to get started quickly.
- Users report that Cloudera serves well in enterprise environments, with a majority of its reviews coming from larger organizations. However, it may not be as appealing to mid-market users compared to Amazon Redshift, which has a broader appeal across different business sizes.
Pricing
Entry-Level Pricing
Amazon Redshift
RA3.4xlarge
$1.22 - $3.26
Per hour
On-demand, 1-Year, or 3-Year Terms
- Commit to save up to 34%
Cloudera Data Platform
No pricing availableFree Trial
Amazon Redshift
Free Trial is available
Cloudera Data Platform
No trial information availableRatings
Meets Requirements
8.7
284
8.6
117
Ease of Use
8.7
284
8.3
119
Ease of Setup
8.6
141
8.1
60
Ease of Admin
8.4
129
7.9
59
Quality of Support
8.5
267
8.0
108
Has the product been a good partner in doing business?
8.7
128
8.4
56
Product Direction (% positive)
8.9
255
8.4
118
Features by Category
Reports
Not enough data
7.1
13
Not enough data
6.1
11
Not enough data
7.1
12
Not enough data
5.9
9
Not enough data
6.7
14
Data Preparation
Not enough data
Not enough data
Not enough data
Not enough data
Data Modeling and Blending
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Self Service
Not enough data
6.2
11
Not enough data
6.7
10
Not enough data
6.2
11
Not enough data
6.8
10
Not enough data
6.2
10
Not enough data
6.0
7
Deployment & Integration - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Advanced Analytics
Not enough data
7.2
12
Not enough data
6.7
13
Not enough data
8.5
14
Performance & Scalability - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Advanced Analytics & Modeling - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI Capabilities - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Personalized Intelligence - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Building Reports
Not enough data
8.3
21
Not enough data
7.7
21
Not enough data
6.7
9
Not enough data
7.7
16
Data Governance
Not enough data
8.8
10
Not enough data
8.8
8
Not enough data
8.8
8
Data Preparation
Not enough data
9.2
10
Not enough data
9.4
9
Not enough data
9.7
10
Not enough data
8.9
9
Collaboration
Not enough data
8.5
8
Not enough data
8.9
9
Not enough data
8.9
9
Not enough data
9.1
9
Artificial Intelligence
Not enough data
9.5
10
Not enough data
9.1
9
Not enough data
8.7
9
Generative AI
Not enough data
8.1
9
Not enough data
8.5
9
Agentic AI - Machine Learning Data Catalog
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Administration
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Compliance
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Quality
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Maintainence
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Data Governance
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
Not enough data
Not enough data
Not enough data
Not enough data
Functionality
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Deployment
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Deployment
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Operations
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
System
Not enough data
9.7
15
Model Development
Not enough data
9.8
15
Not enough data
9.4
16
Not enough data
9.4
14
Not enough data
9.4
15
Model Development
Not enough data
9.4
14
Machine/Deep Learning Services
Not enough data
9.3
15
Not enough data
9.6
15
Not enough data
9.4
15
Not enough data
9.3
15
Machine/Deep Learning Services
Not enough data
9.8
14
Not enough data
9.9
13
Deployment
Not enough data
9.3
15
Not enough data
9.7
16
Not enough data
9.6
15
Generative AI
Not enough data
9.6
13
Not enough data
9.2
13
Not enough data
9.3
14
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Management
Not enough data
6.7
6
Not enough data
6.9
6
Not enough data
6.9
6
Not enough data
7.2
6
Analytics
Not enough data
6.4
6
Security
Not enough data
6.4
6
Not enough data
7.5
6
Not enough data
7.2
6
Generative AI
Not enough data
7.2
6
Not enough data
6.1
6
Agentic AI - Data Fabric
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Management
8.8
135
|
Verified
9.0
15
|
Verified
8.4
125
|
Verified
8.5
14
|
Verified
8.8
131
|
Verified
8.9
14
|
Verified
8.0
127
|
Verified
8.7
13
|
Verified
7.6
102
|
Verified
8.5
14
|
Verified
8.3
119
|
Verified
8.9
14
|
Verified
Integration
7.9
101
|
Verified
8.7
13
|
Verified
8.7
129
|
Verified
8.3
13
|
Verified
8.6
119
|
Verified
9.2
13
|
Verified
Deployment
8.1
102
9.3
14
|
Verified
8.9
131
|
Verified
8.9
14
|
Verified
Performance
8.9
136
|
Verified
9.2
14
|
Verified
Security
8.7
126
|
Verified
8.8
13
|
Verified
8.8
128
|
Verified
9.0
14
|
Verified
Generative AI
7.3
20
8.8
10
7.2
19
8.5
10
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Maintenance
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security
Not enough data
Not enough data
Not enough data
Not enough data
Management
Not enough data
8.8
11
Not enough data
9.4
11
Not enough data
9.4
8
Not enough data
9.4
9
Support
Not enough data
8.0
11
Not enough data
8.5
11
Not enough data
8.7
10
Not enough data
8.0
10
Security
Not enough data
9.0
10
Not enough data
9.2
10
Not enough data
8.7
9
Not enough data
9.0
10
Performance
Not enough data
8.8
8
Not enough data
8.9
9
Not enough data
8.7
9
Not enough data
8.7
9
Not enough data
8.8
10
Database Features
Not enough data
8.9
19
Not enough data
8.4
19
Not enough data
8.5
17
Not enough data
9.0
18
Not enough data
9.0
16
Not enough data
8.7
17
Not enough data
9.2
18
Data Management
Not enough data
Not enough data
Not enough data
Not enough data
Availability
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Performance
Not enough data
Feature Not Available
Security
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Feature Not Available
Not enough data
Not enough data
Support
Not enough data
Not enough data
Not enough data
Not enough data
Storage
8.4
53
Not enough data
8.4
56
Not enough data
Availability
8.6
47
Not enough data
8.2
50
Not enough data
8.4
48
Not enough data
Performance
8.2
48
Not enough data
Security
8.7
47
Not enough data
8.4
52
Not enough data
8.1
47
Not enough data
8.5
48
Not enough data
Support
7.9
43
Not enough data
8.5
47
Not enough data
Data Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - DataOps Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Analytics
Not enough data
Not enough data
Not enough data
Not enough data
Monitoring and Management
Not enough data
Not enough data
Not enough data
Not enough data
Cloud Deployment
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Data management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Reporting
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Database
Not enough data
7.9
12
Not enough data
8.6
13
Not enough data
8.3
11
Integrations
Not enough data
8.8
13
Not enough data
8.3
11
Platform
Not enough data
9.2
8
Not enough data
7.7
11
Not enough data
8.3
11
Processing
Not enough data
7.7
8
Not enough data
7.7
11
Data Transformation
Not enough data
7.0
11
|
Verified
Not enough data
8.6
7
|
Verified
Connectivity
Not enough data
8.9
12
|
Verified
Not enough data
8.8
11
|
Verified
Not enough data
8.6
11
|
Verified
Not enough data
9.0
10
|
Verified
Operations
Not enough data
7.7
10
|
Verified
Not enough data
8.0
11
|
Verified
Not enough data
8.1
9
|
Verified
Not enough data
Feature Not Available
Not enough data
8.7
5
|
Verified
Building Reports
Not enough data
8.3
21
Not enough data
7.7
21
Not enough data
6.7
9
Not enough data
7.7
16
Platform
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Database Features
Not enough data
8.9
19
Not enough data
8.4
19
Not enough data
8.5
17
Not enough data
9.0
18
Not enough data
9.0
16
Not enough data
8.7
17
Not enough data
9.2
18
Categories
Categories
Shared Categories
Amazon Redshift and Cloudera Data Platform are categorized as Data Warehouse and Big Data Integration Platforms
Unique Categories
Amazon Redshift is categorized as Columnar Databases
Cloudera Data Platform is categorized as DataOps Platforms, Relational Databases, MLOps Platforms, Data Fabric, Data Science and Machine Learning Platforms, Big Data Processing and Distribution, ETL Tools, Database Management Systems (DBMS), Key Value Databases, Analytics Platforms, Big Data Analytics, Data Governance, Stream Analytics, Machine Learning Data Catalog, and Active Metadata Management
Reviews
Reviewers' Company Size
Amazon Redshift
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Cloudera Data Platform
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Information Technology and Services
15.3%
Computer Software
12.6%
Financial Services
7.7%
Retail
5.2%
Marketing and Advertising
4.7%
Other
54.5%
Information Technology and Services
23.1%
Computer Software
17.7%
Banking
6.2%
Retail
6.2%
Consulting
4.6%
Other
42.3%
Alternatives
Discussions
When can I use Amazon redshift?
3 Comments
VK
You can use it in Datawarehousing. Read more
Should I use with a data mart for a frontend tool that make request on it ?
3 Comments
NM
Hi Mehdi
Can you elaborate your question?
AWS Redshift is a DataBase/Data Warehouse service, which is Ideal for Analytical use cases.
You can...Read more
What are the characteristics of redshift?
2 Comments
AK
Redshift is mainly used for Big data and analytics to store the data in columner format. Retrieve the data is very fast and parallel processing also most...Read more
What is Cloudera used for?
1 Comment
SA
Cloudera supports distributed processing using Apache Spark, Hive, and YARN, enabling fast processing of very large datasets.
Use cases
Batch processing...Read more
Cloudera Data Platform has no more discussions with answers
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